A Data-Driven Approach for Inverse Optimal Control Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2304.00100
This paper proposes a data-driven, iterative approach for inverse optimal control (IOC), which aims to learn the objective function of a nonlinear optimal control system given its states and inputs. The approach solves the IOC problem in a challenging situation when the system dynamics is unknown. The key idea of the proposed approach comes from the deep Koopman representation of the unknown system, which employs a deep neural network to represent observables for the Koopman operator. By assuming the objective function to be learned is parameterized as a linear combination of features with unknown weights, the proposed approach for IOC is able to achieve a Koopman representation of the unknown dynamics and the unknown weights in objective function together. Simulation is provided to verify the proposed approach.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2304.00100
- https://arxiv.org/pdf/2304.00100
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4362597940
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4362597940Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2304.00100Digital Object Identifier
- Title
-
A Data-Driven Approach for Inverse Optimal ControlWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-31Full publication date if available
- Authors
-
Zihao Liang, Wenjian Hao, Shaoshuai MouList of authors in order
- Landing page
-
https://arxiv.org/abs/2304.00100Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2304.00100Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2304.00100Direct OA link when available
- Concepts
-
Representation (politics), Parameterized complexity, Operator (biology), Computer science, Optimal control, Function (biology), Nonlinear system, Key (lock), Artificial neural network, Inverse, Mathematical optimization, Control (management), Control theory (sociology), Mathematics, Algorithm, Artificial intelligence, Political science, Biochemistry, Chemistry, Physics, Gene, Quantum mechanics, Computer security, Transcription factor, Biology, Repressor, Politics, Evolutionary biology, Law, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4362597940 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2304.00100 |
| ids.doi | https://doi.org/10.48550/arxiv.2304.00100 |
| ids.openalex | https://openalex.org/W4362597940 |
| fwci | |
| type | preprint |
| title | A Data-Driven Approach for Inverse Optimal Control |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11206 |
| topics[0].field.id | https://openalex.org/fields/31 |
| topics[0].field.display_name | Physics and Astronomy |
| topics[0].score | 0.9987000226974487 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3109 |
| topics[0].subfield.display_name | Statistical and Nonlinear Physics |
| topics[0].display_name | Model Reduction and Neural Networks |
| topics[1].id | https://openalex.org/T10791 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9857000112533569 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2207 |
| topics[1].subfield.display_name | Control and Systems Engineering |
| topics[1].display_name | Advanced Control Systems Optimization |
| topics[2].id | https://openalex.org/T11236 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9825000166893005 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2207 |
| topics[2].subfield.display_name | Control and Systems Engineering |
| topics[2].display_name | Control Systems and Identification |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2776359362 |
| concepts[0].level | 3 |
| concepts[0].score | 0.7479461431503296 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q2145286 |
| concepts[0].display_name | Representation (politics) |
| concepts[1].id | https://openalex.org/C165464430 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7270708084106445 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1570441 |
| concepts[1].display_name | Parameterized complexity |
| concepts[2].id | https://openalex.org/C17020691 |
| concepts[2].level | 5 |
| concepts[2].score | 0.6298515200614929 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q139677 |
| concepts[2].display_name | Operator (biology) |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.5860192775726318 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C91575142 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5424500107765198 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1971426 |
| concepts[4].display_name | Optimal control |
| concepts[5].id | https://openalex.org/C14036430 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5347833633422852 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q3736076 |
| concepts[5].display_name | Function (biology) |
| concepts[6].id | https://openalex.org/C158622935 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5169198513031006 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q660848 |
| concepts[6].display_name | Nonlinear system |
| concepts[7].id | https://openalex.org/C26517878 |
| concepts[7].level | 2 |
| concepts[7].score | 0.5038740038871765 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q228039 |
| concepts[7].display_name | Key (lock) |
| concepts[8].id | https://openalex.org/C50644808 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4916852116584778 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q192776 |
| concepts[8].display_name | Artificial neural network |
| concepts[9].id | https://openalex.org/C207467116 |
| concepts[9].level | 2 |
| concepts[9].score | 0.45351850986480713 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q4385666 |
| concepts[9].display_name | Inverse |
| concepts[10].id | https://openalex.org/C126255220 |
| concepts[10].level | 1 |
| concepts[10].score | 0.4478083550930023 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q141495 |
| concepts[10].display_name | Mathematical optimization |
| concepts[11].id | https://openalex.org/C2775924081 |
| concepts[11].level | 2 |
| concepts[11].score | 0.4161268472671509 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q55608371 |
| concepts[11].display_name | Control (management) |
| concepts[12].id | https://openalex.org/C47446073 |
| concepts[12].level | 3 |
| concepts[12].score | 0.3771297335624695 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q5165890 |
| concepts[12].display_name | Control theory (sociology) |
| concepts[13].id | https://openalex.org/C33923547 |
| concepts[13].level | 0 |
| concepts[13].score | 0.3607819676399231 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[13].display_name | Mathematics |
| concepts[14].id | https://openalex.org/C11413529 |
| concepts[14].level | 1 |
| concepts[14].score | 0.34543365240097046 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[14].display_name | Algorithm |
| concepts[15].id | https://openalex.org/C154945302 |
| concepts[15].level | 1 |
| concepts[15].score | 0.2908777892589569 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[15].display_name | Artificial intelligence |
| concepts[16].id | https://openalex.org/C17744445 |
| concepts[16].level | 0 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q36442 |
| concepts[16].display_name | Political science |
| concepts[17].id | https://openalex.org/C55493867 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q7094 |
| concepts[17].display_name | Biochemistry |
| concepts[18].id | https://openalex.org/C185592680 |
| concepts[18].level | 0 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[18].display_name | Chemistry |
| concepts[19].id | https://openalex.org/C121332964 |
| concepts[19].level | 0 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[19].display_name | Physics |
| concepts[20].id | https://openalex.org/C104317684 |
| concepts[20].level | 2 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q7187 |
| concepts[20].display_name | Gene |
| concepts[21].id | https://openalex.org/C62520636 |
| concepts[21].level | 1 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[21].display_name | Quantum mechanics |
| concepts[22].id | https://openalex.org/C38652104 |
| concepts[22].level | 1 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q3510521 |
| concepts[22].display_name | Computer security |
| concepts[23].id | https://openalex.org/C86339819 |
| concepts[23].level | 3 |
| concepts[23].score | 0.0 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q407384 |
| concepts[23].display_name | Transcription factor |
| concepts[24].id | https://openalex.org/C86803240 |
| concepts[24].level | 0 |
| concepts[24].score | 0.0 |
| concepts[24].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[24].display_name | Biology |
| concepts[25].id | https://openalex.org/C158448853 |
| concepts[25].level | 4 |
| concepts[25].score | 0.0 |
| concepts[25].wikidata | https://www.wikidata.org/wiki/Q425218 |
| concepts[25].display_name | Repressor |
| concepts[26].id | https://openalex.org/C94625758 |
| concepts[26].level | 2 |
| concepts[26].score | 0.0 |
| concepts[26].wikidata | https://www.wikidata.org/wiki/Q7163 |
| concepts[26].display_name | Politics |
| concepts[27].id | https://openalex.org/C78458016 |
| concepts[27].level | 1 |
| concepts[27].score | 0.0 |
| concepts[27].wikidata | https://www.wikidata.org/wiki/Q840400 |
| concepts[27].display_name | Evolutionary biology |
| concepts[28].id | https://openalex.org/C199539241 |
| concepts[28].level | 1 |
| concepts[28].score | 0.0 |
| concepts[28].wikidata | https://www.wikidata.org/wiki/Q7748 |
| concepts[28].display_name | Law |
| concepts[29].id | https://openalex.org/C2524010 |
| concepts[29].level | 1 |
| concepts[29].score | 0.0 |
| concepts[29].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[29].display_name | Geometry |
| keywords[0].id | https://openalex.org/keywords/representation |
| keywords[0].score | 0.7479461431503296 |
| keywords[0].display_name | Representation (politics) |
| keywords[1].id | https://openalex.org/keywords/parameterized-complexity |
| keywords[1].score | 0.7270708084106445 |
| keywords[1].display_name | Parameterized complexity |
| keywords[2].id | https://openalex.org/keywords/operator |
| keywords[2].score | 0.6298515200614929 |
| keywords[2].display_name | Operator (biology) |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.5860192775726318 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/optimal-control |
| keywords[4].score | 0.5424500107765198 |
| keywords[4].display_name | Optimal control |
| keywords[5].id | https://openalex.org/keywords/function |
| keywords[5].score | 0.5347833633422852 |
| keywords[5].display_name | Function (biology) |
| keywords[6].id | https://openalex.org/keywords/nonlinear-system |
| keywords[6].score | 0.5169198513031006 |
| keywords[6].display_name | Nonlinear system |
| keywords[7].id | https://openalex.org/keywords/key |
| keywords[7].score | 0.5038740038871765 |
| keywords[7].display_name | Key (lock) |
| keywords[8].id | https://openalex.org/keywords/artificial-neural-network |
| keywords[8].score | 0.4916852116584778 |
| keywords[8].display_name | Artificial neural network |
| keywords[9].id | https://openalex.org/keywords/inverse |
| keywords[9].score | 0.45351850986480713 |
| keywords[9].display_name | Inverse |
| keywords[10].id | https://openalex.org/keywords/mathematical-optimization |
| keywords[10].score | 0.4478083550930023 |
| keywords[10].display_name | Mathematical optimization |
| keywords[11].id | https://openalex.org/keywords/control |
| keywords[11].score | 0.4161268472671509 |
| keywords[11].display_name | Control (management) |
| keywords[12].id | https://openalex.org/keywords/control-theory |
| keywords[12].score | 0.3771297335624695 |
| keywords[12].display_name | Control theory (sociology) |
| keywords[13].id | https://openalex.org/keywords/mathematics |
| keywords[13].score | 0.3607819676399231 |
| keywords[13].display_name | Mathematics |
| keywords[14].id | https://openalex.org/keywords/algorithm |
| keywords[14].score | 0.34543365240097046 |
| keywords[14].display_name | Algorithm |
| keywords[15].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[15].score | 0.2908777892589569 |
| keywords[15].display_name | Artificial intelligence |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2304.00100 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://arxiv.org/pdf/2304.00100 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | text |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/2304.00100 |
| locations[1].id | doi:10.48550/arxiv.2304.00100 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.2304.00100 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5031569047 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-3357-8880 |
| authorships[0].author.display_name | Zihao Liang |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Liang, Zihao |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5030939982 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Wenjian Hao |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Hao, Wenjian |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5070733769 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-3698-4238 |
| authorships[2].author.display_name | Shaoshuai Mou |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Mou, Shaoshuai |
| authorships[2].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/2304.00100 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A Data-Driven Approach for Inverse Optimal Control |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T11206 |
| primary_topic.field.id | https://openalex.org/fields/31 |
| primary_topic.field.display_name | Physics and Astronomy |
| primary_topic.score | 0.9987000226974487 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3109 |
| primary_topic.subfield.display_name | Statistical and Nonlinear Physics |
| primary_topic.display_name | Model Reduction and Neural Networks |
| related_works | https://openalex.org/W2051058708, https://openalex.org/W1494268238, https://openalex.org/W154868527, https://openalex.org/W1983207144, https://openalex.org/W2490706771, https://openalex.org/W2480116122, https://openalex.org/W4255576661, https://openalex.org/W1516574938, https://openalex.org/W2563912921, https://openalex.org/W2407611282 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2304.00100 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2304.00100 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/2304.00100 |
| primary_location.id | pmh:oai:arXiv.org:2304.00100 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://arxiv.org/pdf/2304.00100 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2304.00100 |
| publication_date | 2023-03-31 |
| publication_year | 2023 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 3, 20, 37, 65, 87, 104 |
| abstract_inverted_index.By | 76 |
| abstract_inverted_index.as | 86 |
| abstract_inverted_index.be | 82 |
| abstract_inverted_index.in | 36, 115 |
| abstract_inverted_index.is | 44, 84, 100, 120 |
| abstract_inverted_index.of | 19, 49, 59, 90, 107 |
| abstract_inverted_index.to | 14, 69, 81, 102, 122 |
| abstract_inverted_index.IOC | 34, 99 |
| abstract_inverted_index.The | 30, 46 |
| abstract_inverted_index.and | 28, 111 |
| abstract_inverted_index.for | 7, 72, 98 |
| abstract_inverted_index.its | 26 |
| abstract_inverted_index.key | 47 |
| abstract_inverted_index.the | 16, 33, 41, 50, 55, 60, 73, 78, 95, 108, 112, 124 |
| abstract_inverted_index.This | 0 |
| abstract_inverted_index.able | 101 |
| abstract_inverted_index.aims | 13 |
| abstract_inverted_index.deep | 56, 66 |
| abstract_inverted_index.from | 54 |
| abstract_inverted_index.idea | 48 |
| abstract_inverted_index.when | 40 |
| abstract_inverted_index.with | 92 |
| abstract_inverted_index.comes | 53 |
| abstract_inverted_index.given | 25 |
| abstract_inverted_index.learn | 15 |
| abstract_inverted_index.paper | 1 |
| abstract_inverted_index.which | 12, 63 |
| abstract_inverted_index.(IOC), | 11 |
| abstract_inverted_index.linear | 88 |
| abstract_inverted_index.neural | 67 |
| abstract_inverted_index.solves | 32 |
| abstract_inverted_index.states | 27 |
| abstract_inverted_index.system | 24, 42 |
| abstract_inverted_index.verify | 123 |
| abstract_inverted_index.Koopman | 57, 74, 105 |
| abstract_inverted_index.achieve | 103 |
| abstract_inverted_index.control | 10, 23 |
| abstract_inverted_index.employs | 64 |
| abstract_inverted_index.inputs. | 29 |
| abstract_inverted_index.inverse | 8 |
| abstract_inverted_index.learned | 83 |
| abstract_inverted_index.network | 68 |
| abstract_inverted_index.optimal | 9, 22 |
| abstract_inverted_index.problem | 35 |
| abstract_inverted_index.system, | 62 |
| abstract_inverted_index.unknown | 61, 93, 109, 113 |
| abstract_inverted_index.weights | 114 |
| abstract_inverted_index.approach | 6, 31, 52, 97 |
| abstract_inverted_index.assuming | 77 |
| abstract_inverted_index.dynamics | 43, 110 |
| abstract_inverted_index.features | 91 |
| abstract_inverted_index.function | 18, 80, 117 |
| abstract_inverted_index.proposed | 51, 96, 125 |
| abstract_inverted_index.proposes | 2 |
| abstract_inverted_index.provided | 121 |
| abstract_inverted_index.unknown. | 45 |
| abstract_inverted_index.weights, | 94 |
| abstract_inverted_index.approach. | 126 |
| abstract_inverted_index.iterative | 5 |
| abstract_inverted_index.nonlinear | 21 |
| abstract_inverted_index.objective | 17, 79, 116 |
| abstract_inverted_index.operator. | 75 |
| abstract_inverted_index.represent | 70 |
| abstract_inverted_index.situation | 39 |
| abstract_inverted_index.together. | 118 |
| abstract_inverted_index.Simulation | 119 |
| abstract_inverted_index.challenging | 38 |
| abstract_inverted_index.combination | 89 |
| abstract_inverted_index.observables | 71 |
| abstract_inverted_index.data-driven, | 4 |
| abstract_inverted_index.parameterized | 85 |
| abstract_inverted_index.representation | 58, 106 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile |